Demagnetization fault detection method and system for permanent magnet synchronous all-in-one machine

Abstract

The invention discloses a demagnetization fault detection method and system for a permanent magnet synchronous all-in-one machine, and relates to the technical field of demagnetization fault detection, and the method comprises the steps: collecting the operation data of the permanent magnet synchronous all-in-one machine in the historical time, and extracting the overload operation data in the operation data; according to the overload operation data, performing demagnetization prediction on the permanent magnet synchronous all-in-one machine to obtain demagnetization probability information and demagnetization amplitude information; according to the demagnetization probability information and the demagnetization amplitude information, setting demagnetization test times for performing demagnetization test on the permanent magnet synchronous all-in-one machine, and performing demagnetization test on the permanent magnet synchronous all-in-one machine according to the demagnetization test times to obtain a demagnetization test result set; and performing demagnetization analysis calculation according to the demagnetization test result set to obtain comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result. The technical problem of low demagnetization fault detection precision in the prior art is solved, and the technical effect of improving the demagnetization fault detection accuracy is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of demagnetization fault detection, and in particular to a demagnetization fault detection method and system for a permanent magnet synchronous all-in-one machine. Background Art

[0002] In the application of permanent magnet synchronous integrated machines, the magnetic properties of the equipment play a key role in its operating stability and efficiency. However, due to overload, overheating or other external environmental factors during long-term operation, permanent magnets may demagnetize, resulting in reduced equipment performance or even failure. At present, conventional demagnetization fault detection methods mostly rely on a single operating parameter, such as temperature or current monitoring, which cannot comprehensively evaluate the demagnetization risk and quantify the demagnetization amplitude and uniformity. Especially under complex operating conditions, the detection accuracy of these methods is low and cannot meet the needs of high-precision evaluation and fault warning. Summary of the invention

[0003] The present application provides a demagnetization fault detection method and system for a permanent magnet synchronous all-in-one machine, which is used to solve the technical problem of low demagnetization fault detection accuracy in the prior art.

[0004] In view of the above problems, the present application provides a demagnetization fault detection method and system for a permanent magnet synchronous all-in-one machine.

[0005] In a first aspect of the present application, a method for detecting a demagnetization fault of a permanent magnet synchronous machine is provided, the method comprising: Collect the operation data of the permanent magnet synchronous integrated machine in the historical time, and extract the overload operation data in the operation data; perform demagnetization prediction of the permanent magnet synchronous integrated machine according to the overload operation data, and obtain demagnetization probability information and demagnetization amplitude information; set the number of demagnetization tests for the permanent magnet synchronous integrated machine according to the demagnetization probability information and the demagnetization amplitude information, perform demagnetization tests on the permanent magnet synchronous integrated machine according to the number of demagnetization tests, and obtain a demagnetization test result set; perform demagnetization analysis and calculation according to the demagnetization test result set, and obtain a comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result.

[0006] A second aspect of the present application provides a demagnetization fault detection system for a permanent magnet synchronous integrated machine, the system comprising: An overload operation data acquisition module, wherein the overload operation data acquisition module acquires the operation data of the permanent magnet synchronous integrated machine in the historical time and extracts the overload operation data in the operation data; a demagnetization prediction module, wherein the demagnetization prediction module performs demagnetization prediction of the permanent magnet synchronous integrated machine according to the overload operation data and obtains demagnetization probability information and demagnetization amplitude information; a demagnetization test module, wherein the demagnetization test module sets the number of demagnetization tests for the permanent magnet synchronous integrated machine according to the demagnetization probability information and the demagnetization amplitude information, performs demagnetization tests on the permanent magnet synchronous integrated machine according to the number of demagnetization tests, and obtains a demagnetization test result set; a demagnetization analysis and calculation module, wherein the demagnetization analysis and calculation module performs demagnetization analysis and calculation according to the demagnetization test result set to obtain a comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages: The present application collects the operation data of the permanent magnet synchronous integrated machine in the historical time, and extracts the overload operation data in the operation data; according to the overload operation data, the demagnetization prediction of the permanent magnet synchronous integrated machine is carried out, and the demagnetization probability information and the demagnetization amplitude information are obtained; according to the demagnetization probability information and the demagnetization amplitude information, the number of demagnetization tests for the permanent magnet synchronous integrated machine is set, and the permanent magnet synchronous integrated machine is demagnetized according to the number of demagnetization tests to obtain a set of demagnetization test results; according to the demagnetization test result set, demagnetization analysis and calculation are carried out to obtain a comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result. The present invention solves the technical problem of low demagnetization fault detection accuracy in the prior art, and by collecting operation data, demagnetization prediction, setting the number of tests and analyzing the test results, combining overload data with demagnetization characteristic information, accurately assessing the demagnetization risk and uniformity of the permanent magnet synchronous integrated machine, obtaining a comprehensive demagnetization amplitude and demagnetization uniformity information, and achieving the technical effect of improving the accuracy of demagnetization fault detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0009] Figure 1 A schematic flow chart of a method for detecting a demagnetization fault of a permanent magnet synchronous integrated machine provided in an embodiment of the present application; Figure 2 A structural schematic diagram of a demagnetization fault detection system for a permanent magnet synchronous all-in-one machine provided in an embodiment of the present application.

[0010] Description of the reference numerals: overload operation data acquisition module 11 , demagnetization prediction module 12 , demagnetization test module 13 , demagnetization analysis and calculation module 14 . DETAILED DESCRIPTION

[0011] The present application provides a demagnetization fault detection method and system for a permanent magnet synchronous all-in-one machine, aiming to solve the technical problem of low demagnetization fault detection accuracy in the prior art. By collecting operation data, demagnetization prediction, setting the number of tests and analyzing the test results, the demagnetization risk and uniformity of the permanent magnet synchronous all-in-one machine are accurately evaluated by combining overload data and demagnetization characteristic information, and the comprehensive demagnetization amplitude and demagnetization uniformity information are obtained, thereby achieving the technical effect of improving the accuracy of demagnetization fault detection.

[0012] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0013] It should be noted that any variations of the terms "include" and "have" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or inherent to these processes, methods, products or devices.

[0014] Embodiment 1, as Figure 1 As shown, the present application provides a demagnetization fault detection method for a permanent magnet synchronous integrated machine, the method comprising: Step S100: collecting the operating data of the permanent magnet synchronous machine in the historical period, and extracting the overload operating data in the operating data.

[0015] In the embodiment of the present application, the temperature data of multiple moments in the operation process of the permanent magnet synchronous machine in the historical time collected and recorded by the temperature sensor are first obtained from the historical database to obtain the operation data. Next, the temperature data exceeding the permanent magnet operation temperature threshold is screened out from the operation data to generate an overload temperature data set, and the number of overload temperatures is counted. The mean of the overload temperature data set is calculated, and combined with the number of overload temperatures, the overload operation data is obtained.

[0016] Furthermore, in the method provided in the embodiment of the application, the operation data of the permanent magnet synchronous machine in the historical time is collected, and the overload operation data in the operation data is extracted, which also includes: Acquire temperature data at multiple moments during the operation of the permanent magnet synchronous integrated machine in the historical time collected and recorded by the temperature sensor to obtain operation data; extract temperature data exceeding the permanent magnet operation temperature threshold in the operation data to obtain an overload temperature data set and the number of overload temperatures; calculate the mean of the overload temperature data set and combine it with the overload temperature number as the overload operation data.

[0017] In an embodiment of the present application, firstly, temperature data at multiple moments during the operation of the permanent magnet synchronous machine in the historical time, collected and recorded by the temperature sensor in the historical time, are extracted from the historical database, and these data are used as the operation data.

[0018] Next, the temperature data exceeding the permanent magnet operating temperature threshold is screened out from the operating data to obtain an overload temperature data set, and the data points in the overload temperature data set are counted to obtain the overload temperature quantity. The permanent magnet operating temperature threshold is pre-set by technical experts.

[0019] Then, the temperature values ​​in the overload temperature data set are averaged, and the average of the overload temperature data set is combined with the overload temperature quantity to generate overload operation data.

[0020] Step S200: performing demagnetization prediction of the permanent magnet synchronous machine according to the overload operation data, and obtaining demagnetization probability information and demagnetization amplitude information.

[0021] In an embodiment of the present application, a demagnetization prediction channel is pre-trained, and overload operation data is input into the demagnetization prediction channel to perform demagnetization prediction of the permanent magnet synchronous machine to obtain demagnetization probability information and demagnetization amplitude information.

[0022] Furthermore, in the method provided in the embodiment of the application, demagnetization prediction of the permanent magnet synchronous machine is performed according to the overload operation data to obtain demagnetization probability information and demagnetization amplitude information, and further includes: According to the demagnetization detection historical data of the permanent magnet synchronous integrated machine, a sample overload operation data set is collected, and the proportion of the permanent magnet synchronous integrated machine that has demagnetized under different sample overload operation data, as well as the average demagnetization amplitude of the permanent magnet synchronous integrated machine that has demagnetized are collected to obtain a sample demagnetization probability information set and a sample demagnetization amplitude information set; the sample overload operation data set, the sample demagnetization probability information set and the sample demagnetization amplitude information set are used as supervised training data to train a demagnetization prediction channel; the overload operation data is input into the demagnetization prediction channel, and the demagnetization probability information and the demagnetization amplitude information are obtained by prediction output.

[0023] In the embodiment of the present application, first, a sample overload operation data set is collected from the demagnetization detection history data. The demagnetization detection history data includes the operation records of the permanent magnet synchronous machine under different overload operation conditions, such as the temperature level and duration during over-temperature operation. These data are obtained through the historical monitoring system or the equipment operation log, and serve as characteristic samples of the overload behavior during the actual operation of the equipment, constituting the sample overload operation data set.

[0024] Next, from the collected sample overload operation data set, the demagnetization situation corresponding to each set of sample data is counted, including the proportion of permanent magnet synchronous integrated machines that demagnetize under different overload operation conditions (i.e., demagnetization probability information) and the average demagnetization amplitude of the demagnetized equipment (i.e., demagnetization amplitude information). For example, under certain sample conditions, equipment overload operation may cause 30% of the equipment to demagnetize, with an average demagnetization amplitude of 5%. Through these statistical analyses, a sample demagnetization probability information set and a sample demagnetization amplitude information set are generated.

[0025] Then, the sample overload operation data set, the sample demagnetization probability information set and the sample demagnetization amplitude information set are used as the training data for supervised learning and input into the demagnetization prediction channel. The demagnetization prediction channel is a prediction model based on supervised learning algorithms, such as convolutional neural networks or regression models, which is used to learn the mapping relationship between overload operation conditions and demagnetization risks. Through multiple iterative training, the influence patterns of different overload operation characteristics on demagnetization probability and demagnetization amplitude can be identified, and finally a channel with prediction capabilities is formed.

[0026] Finally, the currently collected equipment overload operation data is input into the trained demagnetization prediction channel. Through the calculation and prediction of the model, the demagnetization probability information and demagnetization amplitude information under the current operating conditions are output.

[0027] Step S300: according to the demagnetization probability information and the demagnetization amplitude information, setting the number of demagnetization tests for the permanent magnet synchronous integrated machine, performing a demagnetization test on the permanent magnet synchronous integrated machine according to the number of demagnetization tests, and obtaining a demagnetization test result set.

[0028] In the embodiment of the present application, the number of demagnetization tests of the permanent magnet synchronous integrated machine is first determined according to the demagnetization probability information and the demagnetization amplitude information. The larger the demagnetization probability information and the demagnetization amplitude information, the higher the risk of demagnetization of the equipment, and therefore more tests are required. Specifically, first, according to the maximum number of demagnetization tests in the historical records, the demagnetization probability information and the demagnetization amplitude information are multiplied by the value respectively to obtain the probability demagnetization test number and the amplitude demagnetization test number, and then the final number of demagnetization tests is determined by weighted calculation of the two.

[0029] During the test, the Hall element is placed inside the permanent magnet synchronous machine to detect the change of magnetic field when the equipment is running. The voltage signal collected by the Hall element is converted into a standard current signal (4-20mA). According to the position of the current signal in this range, the demagnetization amplitude of the equipment is calculated. For example, when the current signal is 20mA, it means that the demagnetization amplitude is 0%; if the current signal is 16mA, the demagnetization amplitude can be calculated by (20-16) / (20-4)=25%. According to the determined number of demagnetization tests, multiple tests are performed and the conversion signals of the Hall element are collected to form a complete set of conversion signals.

[0030] By analyzing the signal amplitude of each test in the conversion signal set, the demagnetization amplitude of each test is calculated, and all test results are summarized to generate a demagnetization test result set.

[0031] Furthermore, in the method provided in the embodiment of the application, the number of demagnetization tests for performing demagnetization tests on the permanent magnet synchronous integrated machine is set according to the demagnetization probability information and the demagnetization amplitude information, and further includes: Obtain the maximum number of demagnetization tests performed on the permanent magnet synchronous integrated machine in the historical period; multiply the demagnetization probability information by the maximum number of demagnetization tests to obtain the probability demagnetization test number; multiply the demagnetization amplitude information by the maximum number of demagnetization tests to obtain the amplitude demagnetization test number; perform weighted calculation on the probability demagnetization test number and the amplitude demagnetization test number to obtain the demagnetization test number for the permanent magnet synchronous integrated machine.

[0032] In the embodiment of the present application, the maximum number of demagnetization tests is first obtained from the historical operation records of the permanent magnet synchronous machine, that is, the upper limit of the number of tests allowed under the durability, safety and actual operating conditions of the equipment. In addition, this data can also be provided by the equipment manufacturer based on experimental tests as a benchmark value for setting the number of tests.

[0033] Then, according to the current demagnetization probability information and demagnetization amplitude information, the corresponding test times are calculated respectively. The probability demagnetization test times are obtained by multiplying the demagnetization probability information by the maximum demagnetization test times. Similarly, the demagnetization amplitude information is multiplied by the maximum demagnetization test times to obtain the amplitude demagnetization test times.

[0034] Next, a weighted calculation is performed on the number of probability demagnetization tests and the number of amplitude demagnetization tests, wherein the weights corresponding to the number of probability demagnetization tests and the number of amplitude demagnetization tests are preset by technical experts and are both 0.5. Through calculation, the number of demagnetization tests for the permanent magnet synchronous machine is obtained.

[0035] Furthermore, in the method provided in the embodiment of the application, the demagnetization test is performed on the permanent magnet synchronous integrated machine according to the demagnetization test number to obtain a demagnetization test result set, and further includes: The Hall element is arranged in the permanent magnet synchronous integrated machine. During the operation of the permanent magnet synchronous integrated machine, the conversion signal of the Hall element is collected according to the number of demagnetization tests to obtain a conversion signal set; the conversion signal interval of the Hall element test demagnetization of the permanent magnet synchronous integrated machine is obtained; according to the falling position of the conversion signal of the number of demagnetization tests in the conversion signal set within the conversion signal interval, the test demagnetization amplitude of the number of demagnetization tests is calculated as a demagnetization test result set.

[0036] In the embodiment of the present application, the Hall element is first arranged inside the permanent magnet synchronous integrated machine. The Hall element is used to sense the change of the magnetic field in real time during the operation of the device and convert the magnetic field signal into a voltage signal. This signal is further standardized into a conversion signal (usually a current range of 4-20mA) by a current signal conversion module.

[0037] During the operation of the permanent magnet synchronous machine, the conversion signals of the Hall element are collected multiple times according to the determined number of demagnetization tests. After each test, the collected conversion signals are recorded and integrated to form a conversion signal set, which contains the key data of the changes in the magnetic properties of the equipment during multiple tests.

[0038] Then, obtain the conversion signal range of the Hall element test permanent magnet synchronous machine demagnetization, that is, clarify the reference standard within the 4-20mA current signal range. For example, in this range, 20mA means that the device is completely normal (demagnetization amplitude is 0%), while 4mA means complete demagnetization (demagnetization amplitude is 100%).

[0039] Then, according to the conversion signal value of each test in the conversion signal set, its specific position in the conversion signal interval is determined, and the demagnetization amplitude is calculated. For example, when the conversion signal of a certain test is 16mA, the demagnetization amplitude is calculated by the formula (20-16) / (20-4)=25%. This calculation logic is based on the linear distribution relationship of the signal value in the reference interval.

[0040] Finally, the demagnetization amplitudes of all test times are integrated to obtain a set of demagnetization test results.

[0041] Step S400: performing demagnetization analysis calculation according to the demagnetization test result set to obtain comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result.

[0042] In the embodiment of the present application, the mean of the demagnetization test result set is first calculated to obtain the comprehensive demagnetization amplitude, and then the demagnetization uniformity information is calculated by combining the demagnetization test result set, the comprehensive demagnetization amplitude and the demagnetization probability information. Specifically, multiple test results are randomly selected from the demagnetization test result set, and their mean is calculated to obtain the random demagnetization amplitude; then the deviation amplitude between the random demagnetization amplitude and the comprehensive demagnetization amplitude is calculated, and the test demagnetization uniformity coefficient is obtained by subtracting the deviation amplitude from 1; finally, the mean of the test demagnetization uniformity coefficient and the demagnetization probability information is used as the demagnetization uniformity information.

[0043] Furthermore, in the method provided in the embodiment of the application, demagnetization analysis and calculation are performed according to the demagnetization test result set to obtain comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result, and further includes: The mean of the demagnetization test result set is calculated to obtain a comprehensive demagnetization amplitude; the demagnetization uniformity information is calculated based on the demagnetization test result set, the comprehensive demagnetization amplitude and the demagnetization probability information; and the comprehensive demagnetization amplitude and the demagnetization uniformity information are used as the demagnetization fault detection result.

[0044] In the embodiment of the present application, firstly, based on the demagnetization test result set, the average of all test results is calculated to obtain the comprehensive demagnetization amplitude.

[0045] Next, the demagnetization uniformity information is further calculated based on the demagnetization test result set, the comprehensive demagnetization amplitude, and the demagnetization probability information. Specifically, multiple test results are randomly selected from the demagnetization test result set, and their mean is calculated to obtain the random demagnetization amplitude. Then the deviation amplitude between the random demagnetization amplitude and the comprehensive demagnetization amplitude is calculated. The smaller the deviation, the more uniform the demagnetization distribution of the device. The test demagnetization uniformity coefficient is obtained by subtracting the deviation amplitude from 1. This coefficient is used to quantify the uniformity of the device demagnetization. The higher the value, the more consistent the demagnetization distribution. The mean of the test demagnetization uniformity coefficient and the demagnetization probability information is taken as the final demagnetization uniformity information.

[0046] Finally, the comprehensive demagnetization amplitude and demagnetization uniformity information are combined as the demagnetization fault detection result of the equipment.

[0047] Furthermore, in the method provided in the embodiment of the application, demagnetization uniformity information is calculated based on the demagnetization test result set, the comprehensive demagnetization amplitude and the demagnetization probability information, and further includes: A plurality of demagnetization test results are randomly selected from the demagnetization test result set, and the mean is calculated to obtain a random demagnetization amplitude; a deviation amplitude between the random demagnetization amplitude and the comprehensive demagnetization amplitude is calculated, and 1 minus the deviation amplitude is used as a test demagnetization uniformity coefficient; and a mean of the test demagnetization uniformity coefficient and the demagnetization probability information is calculated to obtain a demagnetization uniformity coefficient as demagnetization uniformity information.

[0048] In the embodiment of the present application, a plurality of demagnetization test results are first randomly selected from the demagnetization test result set, and the average of these results is calculated to obtain a random demagnetization amplitude. The random demagnetization amplitude is a local average value of the demagnetization performance of the device under some test conditions, and is used to simulate the magnetic performance loss of the device in different positions or operating states.

[0049] Then calculate the deviation between the random demagnetization amplitude and the comprehensive demagnetization amplitude. The comprehensive demagnetization amplitude is the average value of the entire test result, reflecting the severity of the overall demagnetization of the device; while the random demagnetization amplitude provides a reference for local demagnetization. The deviation between the two is used to quantify the consistency between local demagnetization and overall demagnetization. The smaller the deviation, the more uniform the demagnetization distribution of the device under different test conditions.

[0050] Then, the test demagnetization uniformity coefficient is calculated by calculating 1-deviation amplitude. This coefficient directly quantifies the degree of demagnetization uniformity. The closer the value is to 1, the more consistent the demagnetization distribution of the device. The uniformity coefficient provides a measure to evaluate the spatial distribution of demagnetization loss within the device.

[0051] Finally, the mean calculation result of the test demagnetization uniformity coefficient and the demagnetization probability information is taken as the final demagnetization uniformity information.

[0052] In the embodiments of the present application, in summary, the embodiments of the present application have at least the following technical effects: The present application collects the operation data of the permanent magnet synchronous integrated machine in the historical time, and extracts the overload operation data in the operation data; according to the overload operation data, the demagnetization prediction of the permanent magnet synchronous integrated machine is carried out, and the demagnetization probability information and the demagnetization amplitude information are obtained; according to the demagnetization probability information and the demagnetization amplitude information, the number of demagnetization tests for the permanent magnet synchronous integrated machine is set, and the permanent magnet synchronous integrated machine is demagnetized according to the number of demagnetization tests to obtain a set of demagnetization test results; according to the demagnetization test result set, demagnetization analysis and calculation are carried out to obtain a comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result. The present invention solves the technical problem of low demagnetization fault detection accuracy in the prior art, and by collecting operation data, demagnetization prediction, setting the number of tests and analyzing the test results, combining overload data with demagnetization characteristic information, accurately assessing the demagnetization risk and uniformity of the permanent magnet synchronous integrated machine, obtaining a comprehensive demagnetization amplitude and demagnetization uniformity information, and achieving the technical effect of improving the accuracy of demagnetization fault detection.

[0053] Embodiment 2 is based on the same inventive concept as the demagnetization fault detection method of a permanent magnet synchronous integrated machine in the above embodiment. Figure 2As shown, the present application provides a demagnetization fault detection system for a permanent magnet synchronous integrated machine, and the system and method embodiments in the embodiments of the present application are based on the same inventive concept. The system includes: An overload operation data acquisition module 11, wherein the overload operation data acquisition module 11 acquires the operation data of the permanent magnet synchronous integrated machine in the historical time and extracts the overload operation data in the operation data; a demagnetization prediction module 12, wherein the demagnetization prediction module 12 performs demagnetization prediction of the permanent magnet synchronous integrated machine according to the overload operation data, and obtains demagnetization probability information and demagnetization amplitude information; a demagnetization test module 13, wherein the demagnetization test module 13 sets the number of demagnetization tests for the permanent magnet synchronous integrated machine according to the demagnetization probability information and the demagnetization amplitude information, performs demagnetization tests on the permanent magnet synchronous integrated machine according to the number of demagnetization tests, and obtains a demagnetization test result set; a demagnetization analysis and calculation module 14, wherein the demagnetization analysis and calculation module 14 performs demagnetization analysis and calculation according to the demagnetization test result set, and obtains a comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result.

[0054] Furthermore, the system is also used to implement the following functions: Acquire temperature data at multiple moments during the operation of the permanent magnet synchronous integrated machine in the historical time collected and recorded by the temperature sensor to obtain operation data; extract temperature data exceeding the permanent magnet operation temperature threshold in the operation data to obtain an overload temperature data set and the number of overload temperatures; calculate the mean of the overload temperature data set and combine it with the overload temperature number as the overload operation data.

[0055] Furthermore, the system is also used to implement the following functions: According to the demagnetization detection historical data of the permanent magnet synchronous integrated machine, a sample overload operation data set is collected, and the proportion of the permanent magnet synchronous integrated machine that has demagnetized under different sample overload operation data, as well as the average demagnetization amplitude of the permanent magnet synchronous integrated machine that has demagnetized are collected to obtain a sample demagnetization probability information set and a sample demagnetization amplitude information set; the sample overload operation data set, the sample demagnetization probability information set and the sample demagnetization amplitude information set are used as supervised training data to train a demagnetization prediction channel; the overload operation data is input into the demagnetization prediction channel, and the demagnetization probability information and the demagnetization amplitude information are obtained by prediction output.

[0056] Furthermore, the system is also used to implement the following functions: Obtain the maximum number of demagnetization tests performed on the permanent magnet synchronous integrated machine in the historical period; multiply the demagnetization probability information by the maximum number of demagnetization tests to obtain the probability demagnetization test number; multiply the demagnetization amplitude information by the maximum number of demagnetization tests to obtain the amplitude demagnetization test number; perform weighted calculation on the probability demagnetization test number and the amplitude demagnetization test number to obtain the demagnetization test number for the permanent magnet synchronous integrated machine.

[0057] Furthermore, the system is also used to implement the following functions: The Hall element is arranged in the permanent magnet synchronous integrated machine. During the operation of the permanent magnet synchronous integrated machine, the conversion signal of the Hall element is collected according to the number of demagnetization tests to obtain a conversion signal set; the conversion signal interval of the Hall element test demagnetization of the permanent magnet synchronous integrated machine is obtained; according to the falling position of the conversion signal of the number of demagnetization tests in the conversion signal set within the conversion signal interval, the test demagnetization amplitude of the number of demagnetization tests is calculated as a demagnetization test result set.

[0058] Furthermore, the system is also used to implement the following functions: The mean of the demagnetization test result set is calculated to obtain a comprehensive demagnetization amplitude; the demagnetization uniformity information is calculated based on the demagnetization test result set, the comprehensive demagnetization amplitude and the demagnetization probability information; and the comprehensive demagnetization amplitude and the demagnetization uniformity information are used as the demagnetization fault detection result.

[0059] Furthermore, the system is also used to implement the following functions: A plurality of demagnetization test results are randomly selected from the demagnetization test result set, and the mean is calculated to obtain a random demagnetization amplitude; a deviation amplitude between the random demagnetization amplitude and the comprehensive demagnetization amplitude is calculated, and 1 minus the deviation amplitude is used as a test demagnetization uniformity coefficient; and a mean of the test demagnetization uniformity coefficient and the demagnetization probability information is calculated to obtain a demagnetization uniformity coefficient as demagnetization uniformity information.

[0060] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order and continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0061] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0062] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A method for detecting demagnetization fault of a permanent magnet synchronous machine, characterized in that: The method comprises: Collecting the operating data of the permanent magnet synchronous machine in the historical period, and extracting the overload operating data in the operating data; According to the overload operation data, a demagnetization prediction is performed on the permanent magnet synchronous machine to obtain demagnetization probability information and demagnetization amplitude information; According to the demagnetization probability information and the demagnetization amplitude information, setting the number of demagnetization tests for the permanent magnet synchronous integrated machine, performing the demagnetization test on the permanent magnet synchronous integrated machine according to the number of demagnetization tests, and obtaining a demagnetization test result set; According to the demagnetization test result set, a demagnetization analysis calculation is performed to obtain a comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result.

2. The demagnetization fault detection method of a permanent magnet synchronous machine according to claim 1, characterized in that: Collecting the operation data of the permanent magnet synchronous machine in the historical time, and extracting the overload operation data in the operation data, including: Acquire temperature data at multiple times during the operation of the permanent magnet synchronous machine in the historical time collected and recorded by the temperature sensor to obtain operation data; Extracting temperature data exceeding the permanent magnet operating temperature threshold value from the operating data to obtain an overload temperature data set and an overload temperature quantity; The average of the overload temperature data set is calculated and combined with the overload temperature quantity to serve as overload operation data.

3. The demagnetization fault detection method of a permanent magnet synchronous machine according to claim 2, characterized in that: According to the overload operation data, demagnetization prediction of the permanent magnet synchronous machine is performed to obtain demagnetization probability information and demagnetization amplitude information, including: According to the demagnetization detection history data of the permanent magnet synchronous machine, a sample overload operation data set is collected, and the proportion of the permanent magnet synchronous machine that has demagnetized under different sample overload operation data and the average demagnetization amplitude of the permanent magnet synchronous machine that has demagnetized are collected to obtain a sample demagnetization probability information set and a sample demagnetization amplitude information set; The sample overload operation data set, the sample demagnetization probability information set and the sample demagnetization amplitude information set are used as supervised training data to train a demagnetization prediction channel; The overload operation data is input into the demagnetization prediction channel, and the prediction output obtains demagnetization probability information and demagnetization amplitude information.

4. The demagnetization fault detection method of a permanent magnet synchronous integrated machine according to claim 3, characterized in that: According to the demagnetization probability information and the demagnetization amplitude information, setting the number of demagnetization tests for the permanent magnet synchronous all-in-one machine includes: Get the maximum number of demagnetization tests performed by the permanent magnet synchronous machine in the historical period; The demagnetization probability information is multiplied by the maximum demagnetization test number to obtain the probability demagnetization test number; The demagnetization amplitude information is multiplied by the maximum demagnetization test number to obtain the amplitude demagnetization test number; The probability demagnetization test times and the amplitude demagnetization test times are weightedly calculated to obtain the demagnetization test times for performing demagnetization tests on the permanent magnet synchronous all-in-one machine.

5. The demagnetization fault detection method of a permanent magnet synchronous machine according to claim 1, characterized in that: Performing a demagnetization test on the permanent magnet synchronous integrated machine according to the demagnetization test number to obtain a demagnetization test result set, including: Arranging a Hall element in the permanent magnet synchronous integrated machine, and collecting conversion signals of the Hall element according to the number of demagnetization tests during the operation of the permanent magnet synchronous integrated machine to obtain a conversion signal set; Obtain the conversion signal interval of the Hall element test permanent magnet synchronous machine demagnetization; According to the falling positions of the conversion signals of the demagnetization test times in the conversion signal set within the conversion signal interval, the test demagnetization amplitudes of the demagnetization test times are calculated and obtained as the demagnetization test result set.

6. The demagnetization fault detection method of a permanent magnet synchronous machine according to claim 1, characterized in that: According to the demagnetization test result set, demagnetization analysis calculation is performed to obtain comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result, including: Calculating the mean of the demagnetization test result set to obtain a comprehensive demagnetization amplitude; Calculating and obtaining demagnetization uniformity information according to the demagnetization test result set, the comprehensive demagnetization amplitude and the demagnetization probability information; The comprehensive demagnetization amplitude and demagnetization uniformity information are used as demagnetization fault detection results.

7. The method for detecting demagnetization fault of a permanent magnet synchronous machine according to claim 6, characterized in that: Demagnetization uniformity information is calculated based on the demagnetization test result set, the comprehensive demagnetization amplitude and the demagnetization probability information, including: Randomly extracting a plurality of demagnetization test results from the demagnetization test result set, calculating the mean, and obtaining a random demagnetization amplitude; Calculating the deviation between the random demagnetization amplitude and the comprehensive demagnetization amplitude, and using 1 minus the deviation as a test demagnetization uniformity coefficient; The average of the test demagnetization uniformity coefficient and the demagnetization probability information is calculated to obtain a demagnetization uniformity coefficient as the demagnetization uniformity information.

8. A demagnetization fault detection system for a permanent magnet synchronous machine, characterized in that: The system comprises: An overload operation data acquisition module, which collects the operation data of the permanent magnet synchronous machine in the historical period and extracts the overload operation data in the operation data; a demagnetization prediction module, wherein the demagnetization prediction module performs demagnetization prediction of the permanent magnet synchronous machine according to the overload operation data, and obtains demagnetization probability information and demagnetization amplitude information; a demagnetization test module, wherein the demagnetization test module sets the number of demagnetization tests for the permanent magnet synchronous integrated machine according to the demagnetization probability information and the demagnetization amplitude information, performs a demagnetization test on the permanent magnet synchronous integrated machine according to the number of demagnetization tests, and obtains a demagnetization test result set; A demagnetization analysis and calculation module is used to perform demagnetization analysis and calculation according to the demagnetization test result set to obtain comprehensive demagnetization amplitude and demagnetization uniformity information as a demagnetization fault detection result.

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